COMPUTE

This paper presents a serial and parallel genetic based learnable bayesian classifier for designing a prognostic model for metabolic syndrome. The objective of the classifier is to address the fundamental problem of finding the optimal weight in the ...

Enhancement of technology-based system support for knowledge workers is an issue of great importance. The "Knowledge work Support System (KwSS)" framework analyzes this issue from a holistic perspective. KwSS proposes a set of design principles for ...

In this paper, an economy-based Grid simulator named as EcoGrid is presented. EcoGrid is developed as a test-bed for Grid scheduling algorithms that are based on dynamic load balancing. EcoGrid is dynamically configurable. It optimizes the cost of ...

The standard approach to content-based image retrieval is currently concerned with bridging the semantic gap or the gap between the results produced by the use of low-level features and the human end-user expectations based on high-level semantics. In ...

An important problem in Content Based Image Retrieval (CBIR) systems is the gap between the human high-level semantics and the low-level machine features. In this paper, we develop a novel approach based on the intuition that a query along with the ...

Research data centers are often composed of thousands of diverse computer systems used for ongoing research, development, software regression and hardware compatibility testing. The usage patterns of many of these systems result in periodic non-use and ...

We propose an approach to track moving objects (humans) using optical flow in surveillance videos in this paper. We combine object segmentation output with optical flow algorithm while tracking object. That is, the proposed algorithm uses the object ...

DEM (Digital Elevation Model) is the model that gives elevation of each point of the earth surface in discrete form in a 3-D space. Image registration, implies registration of multi-temporal, multi-modal, multi-resolution, images of the same area. ...

Automated security is one of the major concerns of modern times. Secure and reliable authentication systems are in great demand. A biometric trait like Finger Knuckle Print (FKP) of a person is unique and secure. In this paper, we propose a human ...

Parallel and distributed computing techniques have been applied to solve problems that have long running times. Molecular dynamics (MD) is used extensively in physics, chemistry, material sciences and biology to study statistical mechanical properties ...

Diagnosing cause of system failure in data centers that house large interconnected complex computer systems is a herculean task. This is because different monitoring tools for network, storage, server, facilities and application provide useful ...

Reducing the power consumption and operational cost of IT servers is of great concern today. With the growth of the Internet and online services, the number of data centers is increasing day by day. Servers for many cloud applications and other large ...

Relevant information within a document are usually embedded within a few sentences or passages (units). If any semantic tagging can be associated at the unit level within a document, the understanding of the information will be deeper and quicker saving ...

Shot boundary detection is one of the challenging and crucial task in designing video archival and retrieval system. Even though a good number of works on shot boundary detection can be found in the literature, still there is a need of developing novel ...

Infrastructure As A Service (IaaS) cloud providers manage a large set of computing resources. Resources are provided to cloud consumers on demand in the form of virtual machines. Haizea, a resource lease manager, supports advance reservation, immediate, ...

In this paper we present an approach to identify opinion of web users from opinionated texts and to classify web users opinion into positive or negative. Today web users express their opinion using multimodal opinion elements such as opinion phrases, ...

In this paper, we have made an effort to propose approaches to find similar legal judgements by extending the popular techniques used in information retrieval and search engines. Legal judgements are complex in nature and refer other judgements. We have ...

Cloud computing promises to deliver cost saving through the "pay as you use" paradigm. The focus is on adding computing resources when needed and releasing them when the need is serviced. Since cloud computing relies on providing computing power through ...

Ad hoc network is a collection of nodes which do not require centralized administration and pre existing infrastructure. Each node can work like host as well as router. Energy efficient routing is the prime concern in mobile ad hoc networks. Various ...

Routers in Internet face the problem of congestion due to the increased use of real-time application in Internet. The use of real-time applications results in bursty traffic leading to congestion. Congested routers causes many problems such as large ...

Student evaluation is an important component of any higher education. Online student feedbacks and opinions have become increasingly popular means of gathering reviews and judging the quality of various services offered by an institution. This paper ...

Recommender systems employ the popular K-nearest neighbor collaborative filtering (K-CF) methodology and its variations for recommending the products. In K-CF approach, recommendation for a given user is computed based on the ratings of K-nearest ...

This paper presents a technique for automatic test-data generation in software testing. The proposed approach is based on genetic and tabu search algorithms. It combines the strength of two metaheuristic techniques and produces efficient results. The ...

Recent advances in healthcare such as Evidence Based Medicine (EBM) and Clinical Decision Support Systems (CDSS) requires practitioners to frequently access archived historical healthcare literatures and images. As the majority of healthcare literatures ...

Cross Layer Optimization (CLO) strategies are currently being incorporated in network operating system for efficient utilization of resources to enable effective information management. In wireless adhoc networks real time optimizations need to be ...

In a large organization, finding the right expert who can provide knowledge needed in a particular work context is critical to achieving higher levels of quality and productivity especially in the present scenario of a rapidly evolving technology and ...

A camera mounted on a MICro Aerial Vehicle (MICAV) provides an excellent means to monitor large areas of a scene. In this paper, we present a novel approach for detecting motion regions in video sequence observed by a moving MICAV. Foreground object ...

Web document summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the summarization objectives is that the sentences should cover the different events in the ...

Principal Component Analysis(PCA) is bastion for distributed data analysis. Scalability of the data is limited when centralized data mining is taken into account. Unsupervised classification like clustering and supervised classification like other ...

Genomic data mining and knowledge extraction is an important problem in bioinformatics. Existing methods for species identification are based on n-grams. In this paper, we propose a novel approach for identification of species. Given a database of ...